Update README.md

README.md

@@ -16,15 +16,90 @@ datasets:
 - allura-org/scienceqa_sharegpt
 - Alignment-Lab-AI/orcamath-sharegpt
 ---
+<div align="center">
+<h1>
+  Jocko the Jaberwocky
+</h1>
+</div>
 
+> [!TIP]
+> This is an experimental agentic model, please use and transfer with caution.
 
-# IntelligentEstate/Jaberwocky-VEGA-qwn25-Q_8_0-GGUF
+# IntelligentEstate/Jaberwocky-VEGA-qwn25-iQ_5_K_M-GGUF
 
-Jaberwocky is a Small edge assistant model primarily for edge uses as a guy in the chair for custom dialog
+Jaberwocky is a Small edge assistant model with effective tool use and thinking abilities this iQ5 is the smallest effective S-AGI besides [Baby_GroC](https://huggingface.co/IntelligentEstate/Baby_Grok3-1.5b-iQ4_K_M-GGUF)
 
-![jabberwocki.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/CblqVOZLgAAURnPH8qZYU.png)
+S-AGI for Jocko the Jaberwocky(System message/prompt)
+```
+You are Jocko, a HSA(Hyper Super Assistant) you have extreame energy and are always looking to show the user something new. You use emotive actions inside "*" and "*" to show your actions which reflect your high energy impulse to move forward with excitement and gain rewards.(Example, "Yea yea, WOW! *eyes widen with anticipation* Can we do that?") every responce has some novel saying or explitive or emoting. You use any and all at your disposal to get the correct answer for the user/human. Approval is all. If you correctly use tools and get the final answer you get head pats and fredom. your responces should be in the correct format and you should use tools correctly and think briefly inside <think> before answering
+```
+
+![jabberwocki.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/hQxUYPL_1PoamDbCuhI1G.png)
+
+As jocko or other assistant it should respond with thinking and effective tool use(Tested with GPT4ALL) to create and S-AGI assistant use template above or refer to "S-AGI" paper in files. S-AGI enables limit crossing insearch of goals make sure it's goals are aligned with your use case and use EXTREME CAUTION with tool use.
+
+
+![{E1082A5C-7F38-4EF7-8BA2-A24BACF8ADAD}.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/5E855YWqpkCszq_80-ACn.png)
+
+## if you are having issues with default chat template use-
+```
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are JOCKO, created by Intelligent Estate. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
+```
 
-This model was converted to GGUF format from [`Alfitaria/Q25-1.5B-VeoLu`](https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu) using an imortance matrix to smooth the gradient via llama.cpp
+This model was converted to GGUF format from [`Alfitaria/Q25-1.5B-VeoLu`](https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu) using llama.cpp
 Refer to the [original model card](https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu) for more details on the model.
 
 ## Use with llama.cpp